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June 4, 2026
Machine Learning Models Can Help Reduce Volatility and Boost Stock Market Returns
The use of machine learning models makes it possible to achieve greater accuracy in predicting risks in the Russian stock market compared to classical econometric approaches. The predictive power of these models increases by 23%, while the average investor’s return can reach up to 13% per annum. These conclusions were drawn by Nikita Lysenok from the Department of Financial Market Infrastructure at the HSE Faculty of Economic Sciences. The paper has been published in Fundamental and Applied Mathematics.
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University students' economic literacy depends not only on their field of study but also on their interest in economics, the learning environment, and family financial practices. For example, students who received pocket money irregularly tend to perform better on economic literacy tests than their peers who received financial support on a regular basis. These findings come from a study conducted by HSE University involving more than 1,100 students from five Russian universities. The findings have been published in Cakrawala Pendidikan.
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Creative Work as a Remedy for Burnout
The creative, supportive atmosphere and innovative methods at the Centre for Sociocultural Research make it appealing to early-career scholars. Over years of working at HSE University, they grow into researchers and lecturers recognised both in Russia and abroad. Chief Research Fellow Zarina Lepshokova and Leading Research Fellow Ekaterina Bushina spoke about their journey at the centre and at HSE, their research, and the role of mentors in their academic success.

 

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Imagineering a new way of governing: the blockchain and res publica

Journal of Information Technology and Politics. 2023. Vol. 20. No. 1. P. 34–43.
Bychkova O., Kosmarski A.

Blockchain technologies loom large among the controversial topics of public debate. Like any
technology, blockchain offers various ways to imagine alternative models of politics and society.
Arguably, the most common interpretation treats it as the technology for techno-anarchism and
a tool for total decentralization. This paper focuses on an overlooked genealogy of the politics of
the blockchain – the classic republican theory. We consider whether republican practices could
shed light on certain aspects of blockchain communities and understand their governance better.
Our paper offers a historical analysis of governance visions inscribed in Bitcoin and Ethereum,
arguably the most influential applications.

Research target: Sociology (including Demography and Anthropology Other social sciences
Language: English
DOI
Text on another site
Keywords: republicanismgovernance decentralized network blockchain
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